Estimation of instantaneous peak flow from maximum mean daily flow by regionalization of catchment model parameters-Reference-Cited by-同舟云学术

Estimation of instantaneous peak flow from maximum mean daily flow by regionalization of catchment model parameters

Published:2016-11-21 Issue:3 Volume:31 Page:612-626
ISSN:0885-6087
Container-title:Hydrological Processes
language:en
Short-container-title:Hydrol. Process.

Author:

Ding Jie¹²,Haberlandt Uwe²

Affiliation:

1. Key Laboratory of Tibetan Plateau Environment Changes and Land Surface Processes; Institute of Tibetan Plateau Research, Chinese Academy of Sciences; Beijing China

2. Institute of Water Resources Management, Hydrology and Agricultural Hydraulic Engineering; University of Hannover; Hannover Germany

Funder

China Scholarship Council

Publisher

Wiley

Subject

Water Science and Technology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/hyp.11053/fullpdf

Reference43 articles.

1. Development of regional parameter estimation equations for a macroscale hydrologic model;Abdulla;Journal of Hydrology,1997

2. Automated base flow separation and recession analysis techniques;Arnold;Ground Water,1995

3. Comparison of stochastic optimization algorithms in hydrological model calibration;Arsenault;Journal of Hydrologic Engineering,2014

4. Predictions in ungauged basins: An approach for regionalization of hydrological models considering the probability distribution of model parameters;Athira;Stochastic Environmental Research and Risk Assessment,2016

5. Bárdossy , A. He , Y. 2006 Application of a nearest neighbour method to a conceptual rainfall-runoff model

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Flood frequency analysis using mean daily flows vs. instantaneous peak flows;Hydrology and Earth System Sciences;2024-04-12

2. Enhancing flood event predictions: Multi-objective calibration using gauge and satellite data;Journal of Hydrology;2024-03

3. Calibration of hydrological models for ungauged catchments by automatic clustering using a differential evolution algorithm: The Gorganrood river basin case study;Journal of Hydroinformatics;2023-04-12

4. Estimation of Hourly Flood Hydrograph from Daily Flows Using Artificial Neural Network and Flow Disaggregation Technique;Water;2020-12-26

5. Coupling machine-learning techniques with SWAT model for instantaneous peak flow prediction;Biosystems Engineering;2019-01